Too Late for Playback: Estimation of Video Stream Quality in Rural and Urban Contexts

Vivek Adarsh, Michael Nekrasov, Udit Paul, Alex Ermakov, Arpit Gupta, Morgan Vigil-Hayes, Ellen Zegura, Elizabeth Belding

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

The explosion of mobile broadband as an essential means of Internet connectivity has made the scalable evaluation and inference of quality of experience (QoE) for applications delivered over LTE networks critical. However, direct QoE measurement can be time and resource intensive. Further, the wireless nature of LTE networks necessitates that QoE be evaluated in multiple locations per base station as factors such as signal availability may have significant spatial variation. Based on our observations that quality of service (QoS) metrics are less time and resource-intensive to collect, we investigate how QoS can be used to infer QoE in LTE networks. Using an extensive, novel dataset representing a variety of network conditions, we design several state-of-the-art predictive models for scalable video QoE inference. We demonstrate that our models can accurately predict rebuffering events and resolution switching more than 80% of the time, despite the dataset exhibiting vastly different QoS and QoE profiles for the location types. We also illustrate that our classifiers have a high degree of generalizability across multiple videos from a vast array of genres. Finally, we highlight the importance of low-cost QoS measurements such as reference signal received power (RSRP) and throughput in QoE inference through an ablation study.

Original languageEnglish (US)
Title of host publicationPassive and Active Measurement - 22nd International Conference, PAM 2021, Proceedings
EditorsOliver Hohlfeld, Andra Lutu, Dave Levin
PublisherSpringer Science and Business Media Deutschland GmbH
Pages141-157
Number of pages17
ISBN (Print)9783030725815
DOIs
StatePublished - 2021
Event22nd International Conference on Passive and Active Measurement, PAM 2021 - Virtual, Online
Duration: Mar 29 2021Apr 1 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12671 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference22nd International Conference on Passive and Active Measurement, PAM 2021
CityVirtual, Online
Period3/29/214/1/21

Keywords

  • Digital divide
  • LTE
  • Network measurement
  • QoE
  • Video streaming

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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